### Summary:
This PR moves the clamping functionality from `quantize` to `float_to_apot` util function to align with the uniform quantize workflow in the codebase.
### Test Plan:
Run unit tests with:
python pytorch/test/quantization/core/experimental/test_quantizer.py
Pull Request resolved: https://github.com/pytorch/pytorch/pull/80885
Approved by: https://github.com/dzdang
### Summary:
This PR updates the APoT global API method signatures and parameters for `dequantize_APoT` and `calculate_qparams` to align with their uniform counterparts in the codebase.
### Test Plan:
Run unit tests with:
`python pytorch/test/quantization/core/experimental/test_nonuniform_observer.py`
`python pytorch/test/quantization/core/experimental/test_quantizer.py`
Pull Request resolved: https://github.com/pytorch/pytorch/pull/80364
Approved by: https://github.com/jerryzh168
### Summary:
This PR updates the design of APoT Observer, Quantizer, and Tensor to be more consistent with their uniform counterparts in the PyTorch framework. APoT Observer now calculates alpha as the max between the absolute values of the max and min values in the input tensor. APoT Quantizer is modified so its instance methods quantize_APoT and dequantize_APoT are called by their global method counterparts. APoT Tensor is modified to account for the new method definition of the `quantize_APoT` from APoT Quantizer.
### Test Plan:
Run APoT Observer class unit tests with: `python pytorch/test/quantization/core/experimental/test_nonuniform_observer.py`
Run APoT Quantize class unit tests with: `python pytorch/test/quantization/core/experimental/test_quantizer.py`
Run APoT Tensor class unit tests with: `python pytorch/test/quantization/core/experimental/test_quantized_tensor.py`
Pull Request resolved: https://github.com/pytorch/pytorch/pull/80075
Approved by: https://github.com/jerryzh168
